Summary of A Mutual Information Perspective on Federated Contrastive Learning, by Christos Louizos et al.
A Mutual Information Perspective on Federated Contrastive Learningby Christos Louizos, Matthias Reisser, Denis KorzhenkovFirst submitted…
A Mutual Information Perspective on Federated Contrastive Learningby Christos Louizos, Matthias Reisser, Denis KorzhenkovFirst submitted…
Locality Regularized Reconstruction: Structured Sparsity and Delaunay Triangulationsby Marshall Mueller, James M. Murphy, Abiy TasissaFirst…
RLHF from Heterogeneous Feedback via Personalization and Preference Aggregationby Chanwoo Park, Mingyang Liu, Dingwen Kong,…
Temporal Graph ODEs for Irregularly-Sampled Time Seriesby Alessio Gravina, Daniele Zambon, Davide Bacciu, Cesare AlippiFirst…
The Shape of Money Laundering: Subgraph Representation Learning on the Blockchain with the Elliptic2 Datasetby…
Parameter-Efficient Tuning Large Language Models for Graph Representation Learningby Qi Zhu, Da Zheng, Xiang Song,…
Bounding the Expected Robustness of Graph Neural Networks Subject to Node Feature Attacksby Yassine Abbahaddou,…
TabVFL: Improving Latent Representation in Vertical Federated Learningby Mohamed Rashad, Zilong Zhao, Jeremie Decouchant, Lydia…
IMEX-Reg: Implicit-Explicit Regularization in the Function Space for Continual Learningby Prashant Bhat, Bharath Renjith, Elahe…
Personalized Federated Learning via Sequential Layer Expansion in Representation Learningby Jaewon Jang, Bonjun ChoiFirst submitted…